Papers
8
Total Citations
231
H-Index
6
About
Hongjun Ma is a researcher whose work spans fault diagnosis, fault-tolerant control, nonlinear systems, and robotics, with expanding contributions to visual odometry and tactile manipulation. His most influential contribution, "Simultaneous Fault Diagnosis for Robot Manipulators with Actuator and Sensor Faults" (2016, 73 citations), established him as a leading voice in robust fault detection for robotic systems, addressing the complex challenge of concurrent actuator and sensor failures in nonlinear manipulator models. His work on adaptive fuzzy output-feedback dynamic surface control (54 citations) further demonstrated his expertise in designing intelligent controllers for uncertain nonlinear systems with practical output nonlinearities such as dead zones. Ma has also made significant strides in cooperative fault diagnosis for multiagent systems (33 citations), developing distributed fuzzy estimators that enable agents to collaboratively identify faults propagating through interconnected networks. His earlier foundational work on logic-based switching fault-tolerant controllers laid the theoretical groundwork for these advances. More recently, Ma has broadened his research into mobile robotics perception, with DynPL-SVO (19 citations) offering a robust stereo visual odometry solution for dynamic environments, and into compliant robotic manipulation of viscoelastic objects. His career reflects a consistent commitment to bridging rigorous control theory with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 5DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes19 citations · 2024
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